Brain imaging techniques such as fMRI, PET and EEG are giving researchers more insight into how our minds work than ever before. The datasets derived from imaging research are often immensely huge and complex.
Thomas Nichols (MCS’92, DC’00) is very familiar with how to successfully use this type of data. Nichols received a bachelor’s degree in mathematics and statistics and a Ph.D. in statistics and completed the Center for the Neural Basis of Cognition (CNBC) Graduate Training Program. He is currently a principal research fellow and head of Neuroimaging Statistics at Warwick University’s Department of Statistics and Institute for Digital Healthcare, which aims to improve health and wellbeing through the use of innovative digital technologies. He is also the co-author of the book, “Handbook of fMRI Data Analysis.”